Real-time image processing algorithms for an automated retinal laser surgery system

Author

Becker, Douglas E. ; Turner, James N. ; Tanenbaum, Howard ; Roysam, Badrinath

Author_Institution

Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA

Volume

1

fYear

1995

fDate

23-26 Oct 1995

Firstpage

426

Abstract

Although laser retinal surgery is the best available treatment for a variety of ophthalmic disorders, the current procedure has a success rate of less than 50%. A computer-controlled instrument is under development for minimizing this failure rate. This paper presents core image-processing methods used for this system. The image-processing problems of interest in this paper are (i) the computation of a retinal map from video retinal angiograms, and (ii) real-time eye tracking and location determination during laser surgery. The algorithms described here comprise of a fast method for detecting retinal landmark feature points, a fast method for matching feature-tagged point sets, feature-based method for montaging retinal angiograms, and an algorithm for real-time image tracking

Keywords

eye; laser applications in medicine; medical image processing; real-time systems; surgery; automated retinal laser surgery system; computer-controlled instrument; core image-processing methods; feature-based method; feature-tagged point sets; ophthalmic disorders; real-time image processing algorithms; real-time image tracking; retinal angiograms montaging; retinal landmark feature points detection; retinal map computation; Blood vessels; Computer vision; Digital images; Image processing; Instruments; Laboratories; Laser surgery; Lighting; Real time systems; Retina;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1995. Proceedings., International Conference on

Conference_Location

Washington, DC

Print_ISBN

0-8186-7310-9

Type

conf

DOI

10.1109/ICIP.1995.529737

Filename

529737